• Title/Summary/Keyword: 사고 처리시간

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Fast Detection of Power Lines Using LIDAR for Flight Obstacle Avoidance and Its Applicability Analysis (비행장애물 회피를 위한 라이다 기반 송전선 고속탐지 및 적용가능성 분석)

  • Lee, Mijin;Lee, Impyeong
    • Spatial Information Research
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    • v.22 no.1
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    • pp.75-84
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    • 2014
  • Power lines are one of the main obstacles causing an aircraft crash and thus their realtime detection is significantly important during flight. To avoid such flight obstacles, the use of LIDAR has been recently increasing thanks to its advantages that it is less sensitive to weather conditions and can operate in day and night. In this study, we suggest a fast method to detect power lines from LIDAR data for flight obstacle avoidance. The proposed method first extracts non-ground points by eliminating the points reflected from ground surfaces using a filtering process. Second, we calculate the eigenvalues for the covariance matrix from the coordinates of the generated non-ground points and obtain the ratio of eigenvalues. Based on the ratio of eigenvalues, we can classify the points on a linear structure. Finally, among them, we select the points forming horizontally long straight as power-line points. To verify the algorithm, we used both real and simulated data as the input data. From the experimental results, it is shown that the average detection rate and time are 80% and 0.2 second, respectively. If we would improve the method based on the experiment results from the various flight scenario, it will be effectively utilized for a flight obstacle avoidance system.

Development of a Framework for Anti-Collision System of Moving Drilling Machines on a Drill Floor (시추 작업장의 이동식 시추 장비 충돌 방지 시스템을 위한 프레임워크 개발)

  • Lee, Jaeyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.330-336
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    • 2020
  • An anti-collision system between equipment is essential on a drill floor where multiple moving machines are operated simultaneously. This is to prevent accidents by halting the machines when required, by inspecting possibility of a collision based on the relative position data sent by the equipment. In this paper, we propose a framework for an Anti-Collision System (ACS) by considering expandability of the number of machines and computational speed, to promote development of drilling machines and corresponding ACS software. Each drilling equipment is represented as an object in the software with its own message format, and the message is constructed with serialization/deserialization to manage any additional equipment or data. The data handling process receives the current status of machines from the drilling control network, and relays a collision related message (including bypass signal) back to the machines. A commercial visualization software shows the bounding boxes moving with the equipment and indicates probable collision. It has been determined that the proposed system maintains total execution time below 5ms to process data from the network and relay the information hence, the system has no effect on the machine control systems having 100ms control cycle.

An Alternative Effectiveness Analysis on Anti-Dew Road Sign (도로표지판의 결로 방지 대안별 효과 분석)

  • Park, Jae-Hong;Yun, Duk-Geun;Sung, Jung-Gon;Kang, Weon-Eui
    • International Journal of Highway Engineering
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    • v.14 no.2
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    • pp.55-61
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    • 2012
  • Road signs are important facilities in terms of providing information to driver, they are helpful for driver's judgment as deliver it's own information. However if there is occurrence dew on the road sign because of the change of temperature and humidity, it can be cause of accidents. Therefore it is necessary to develop anti-dew or dew resistance technology. In this research the anti-dew technologies such as insulation road sign and anti-dew film were compared with normal road sign, and the effectiveness analysis was conducted for each alternatives. The quantity of dew on the road sign was check using ANOVA and Tukey HSD and the relation between the retro-reflectivity and quantity of dew on the sign was check using Pearson correlation coefficient. As a result, the sample of anti-dew film attached road sign showed lesser quantity of dew compared with normal road sign. After 90 seconds, the difference of dew quantity for anti-dew film and insulation road sign showed statistically significant result. The relation of between quantity of dew and retro-reflectivity was inverse correlation. As a result, when analyzed the quantity of dew and retro-reflectivity a point of view anti-dew effectiveness, the anti-dew film and insulation road sign showed meaningful result.

Restoration of Missing Data in Satellite-Observed Sea Surface Temperature using Deep Learning Techniques (딥러닝 기법을 활용한 위성 관측 해수면 온도 자료의 결측부 복원에 관한 연구)

  • Won-Been Park;Heung-Bae Choi;Myeong-Soo Han;Ho-Sik Um;Yong-Sik Song
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.536-542
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    • 2023
  • Satellites represent cutting-edge technology, of ering significant advantages in spatial and temporal observations. National agencies worldwide harness satellite data to respond to marine accidents and analyze ocean fluctuations effectively. However, challenges arise with high-resolution satellite-based sea surface temperature data (Operational Sea Surface Temperature and Sea Ice Analysis, OSTIA), where gaps or empty areas may occur due to satellite instrumentation, geographical errors, and cloud cover. These issues can take several hours to rectify. This study addressed the issue of missing OSTIA data by employing LaMa, the latest deep learning-based algorithm. We evaluated its performance by comparing it to three existing image processing techniques. The results of this evaluation, using the coefficient of determination (R2) and mean absolute error (MAE) values, demonstrated the superior performance of the LaMa algorithm. It consistently achieved R2 values of 0.9 or higher and kept MAE values under 0.5 ℃ or less. This outperformed the traditional methods, including bilinear interpolation, bicubic interpolation, and DeepFill v1 techniques. We plan to evaluate the feasibility of integrating the LaMa technique into an operational satellite data provision system.

Effects of Non-ionic Surfactant Tween 80 on the in vitro Gas Production, Dry Matter Digestibility, Enzyme Activity and Microbial Growth Rate by Rumen Mixed Microorganisms (비이온성 계면활성제 Tween 80의 첨가가 반추위 혼합 미생물에 의한 in vitro 가스발생량, 건물소화율, 효소활력 및 미생물 성장율에 미치는 영향)

  • Lee, Shin-Ja;Kim, Wan-Young;Moon, Yea-Hwang;Kim, Hyeon-Shup;Kim, Kyoung-Hoon;Ha, Jong-Kyu;Lee, Sung-Sil
    • Journal of Life Science
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    • v.17 no.12
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    • pp.1660-1668
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    • 2007
  • The non-ionic surfactant (NIS) Tween 80 was evaluated for its ability to influence invitro cumulative gas production, dry matter digestibility, cellulolytic enzyme activities, anaerobic microbial growth rates, and adhesion to substrates by mixed rumen microorganisms on rice straw, alfalfa hay, cellulose filter paper and tall fescue hay. The addition of NIS Tween 80 at a level of 0.05% increased significantly (P<0.05) in vitro DM digestibility, cumulative gas production, microbial growth rate and cellulolytic enzyme activity from all of substrates used in this study. In vitro cumulative gas production from the NIS-treated substrates; rice straw, alfalfa hay, filter paper and tall fescue hay was significantly (P<0.05) improved by 274.8, 235.2, 231.1 and 719.5% compared with the control, when substrates were incubated for 48 hr in vitro. The addition of 0.05% NIS Tween 80 to cultures growing on alfalfa hay resulted in a significant increase in CMCase (38.1%), xylanase (121.4%), Avicelase (not changed) and amylase (38.2%) activities after 36 h incubation. These results indicated that the addition of 0.05% Tween 80 could greatly stimulate the release of some kinds of cellulolytic enzymes without decreasing cell growth rate in contrast to trends reported with aerobic microorganism. Our SEM observation showed that NIS Tween. 80 did not influence the microbial adhesion to substrates used in the study. Present data clearly show that improved gas production, DM digestibility and cellulolytic enzyme activity by Tween 80 is not due to increased bacterial adhesion on the substrates.

Sea Fog Level Estimation based on Maritime Digital Image for Protection of Aids to Navigation (항로표지 보호를 위한 디지털 영상기반 해무 강도 측정 알고리즘)

  • Ryu, Eun-Ji;Lee, Hyo-Chan;Cho, Sung-Yoon;Kwon, Ki-Won;Im, Tae-Ho
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.25-32
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    • 2021
  • In line with future changes in the marine environment, Aids to Navigation has been used in various fields and their use is increasing. The term "Aids to Navigation" means an aid to navigation prescribed by Ordinance of the Ministry of Oceans and Fisheries which shows navigating ships the position and direction of the ships, position of obstacles, etc. through lights, shapes, colors, sound, radio waves, etc. Also now the use of Aids to Navigation is transforming into a means of identifying and recording the marine weather environment by mounting various sensors and cameras. However, Aids to Navigation are mainly lost due to collisions with ships, and in particular, safety accidents occur because of poor observation visibility due to sea fog. The inflow of sea fog poses risks to ports and sea transportation, and it is not easy to predict sea fog because of the large difference in the possibility of occurrence depending on time and region. In addition, it is difficult to manage individually due to the features of Aids to Navigation distributed throughout the sea. To solve this problem, this paper aims to identify the marine weather environment by estimating sea fog level approximately with images taken by cameras mounted on Aids to Navigation and to resolve safety accidents caused by weather. Instead of optical and temperature sensors that are difficult to install and expensive to measure sea fog level, sea fog level is measured through the use of general images of cameras mounted on Aids to Navigation. Furthermore, as a prior study for real-time sea fog level estimation in various seas, the sea fog level criteria are presented using the Haze Model and Dark Channel Prior. A specific threshold value is set in the image through Dark Channel Prior(DCP), and based on this, the number of pixels without sea fog is found in the entire image to estimate the sea fog level. Experimental results demonstrate the possibility of estimating the sea fog level using synthetic haze image dataset and real haze image dataset.

The Development of Performance Evaluation Processing System using ICT in to Society Teaching and Learning Method (사회과 교수-학습 방법에서 ICT를 활용한 수행평가 처리 시스템 개발)

  • Lee, Jin-Kyoung;Ko, Byung-Oh
    • Journal of The Korean Association of Information Education
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    • v.5 no.3
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    • pp.380-388
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    • 2001
  • In this Information Age, the needs for the performance evaluation is raising to increase the higher-thought ability for creativity and problem-solving, to improve the quality of the teaching-learning process. However, it is very difficult to carry out the authentic performance evaluation in our educational environment. Therefore, we design and implement the Performance Evaluation Processing System as one of the learning-teaching processes. We study the theoretical base of evaluation types and of learning-teaching methods, and inquire appropriate performance evaluation methods. Among the methods, we focus on the Report, a type of performance evaluation using the most widely in the Society. We constitute a basic form and design the evaluation system of the Report. The evaluation system consist of the teacher's module and the learner's module. Teachers make the form of report, provide it for learners and evaluate the report on teacher's module, Learners make out the report, submit it to the teacher and use it for presentation in class, on learner's module, The teacher and learner can apply this system as follows. The teacher can use the report that have been already made, or that make for themselves as a step for evaluation and they can evaluate learners by the submitted report. The learner not only can see their own result of evaluation but also can use ICT at their presentation.

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A Case Study on Chlorine Dioxide Usage at a Conventional Water Treatment Plant (기존 정수장 이산화염소 시범도입 사례연구)

  • Lee, Song-Hee;Lee, Byung-Doo;Kim, Jin-Keun;Seog, Kwon-Soo;Lee, Joung-Taek
    • Journal of Korean Society of Environmental Engineers
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    • v.27 no.1
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    • pp.115-119
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    • 2005
  • As the regulations on DBPs are tightened, many water treatment plants (WTPs) in Korea have already introduced or will introduce enhanced coagulation, alternative disinfectants and advanced treatments such as ozonization and granular activated carbon to improve drinking water qualify. After a phenol leakage accident at the Nakdong-River in 1991, 26 WIPs in Korea introduced carbon dioxide generators, but there has been no accumulation of significant operating data. This research summarizes things that should be considered for the introduction of carbon dioxide disinfection process to WTPs based on one year operation data from A WTP that has had high concentration of DBP during a specific period in the summer. The removal efficiency of DBP was $30{\sim}40%$, but those of 2-MIB, Geosmin were less than 10%. The generation rate of $ClO_2$ by-products such as chlorite and chlorate were $70{\sim}100%$ of input dosage, but the ratios increased over time. At the same time, strong chlorine odors may be produced in the distribution system when $ClO_2$ was used with $Cl_2$ as a result of reaction between the chlorite and residual chlorine.

Smartphone-based Wavelength Control LED Lighting System according to the Sleep-Wake Cycle of Occupants (재실자의 수면-각성 주기에 따른 스마트폰 기반 파장제어 LED 조명시스템)

  • Kim, Yang-Soo;Kwon, Sook-Youn;Hwang, Jun;Lim, Jae-Hyun
    • Journal of Internet Computing and Services
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    • v.17 no.1
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    • pp.35-45
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    • 2016
  • Melatonin hormone involved in human's circadian rhythm adjustment sensitively responds to light's specific short wavelength ratio. A shift worker's circadian rhythm disturbance and sleep disorder are caused by the existing lighting conditions, whose short wavelength ratio is fixed. The life pattern of a shift worker changes irregularly because of irregular working hours and the same lighting environment; thus, his/her concentration is reduced. For such a reason, negative effects ensue to the detriment of healthy everyday life, including a high risk of accidents or having unsound sleep after leaving work. A smartphone-based wavelength control LED lighting system that targets shift workers and that can easily measure and control lighting suitable for wake-sleep cycle, according to working hours and closing hours, is proposed in this paper. First, after the light characteristics of LED lighting that changes depending on light control ratio are measured through the color sensor installed on the smartphone and the externally-linked Mini-Spectrometer, they are stored in the database. Based on the stored optical characteristics data, the measurement module and light control module are implemented. Lighting is offered using a control ratio having the maximum rate of short wavelength in consideration of the target illuminance, classified according to work type by identifying working hours as time when waking is required for shift workers. After a shift work leaves work, the amount of lighting is varied, using a control ratio having a minimum short wavelength rate so that a shift worker can enter the sleep state naturally.

Traffic Lights Detection Based on Visual Attention and Spot-Lights Regions Detection (시각적 주의 및 Spot-Lights 영역 검출 기반의 교통신호등 검출 방안)

  • Kim, JongBae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.6
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    • pp.132-142
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    • 2014
  • In this paper, we propose a traffic lights detection method using visual attention and spot-lights detection. To detect traffic lights in city streets at day and night time, the proposed method is used the structural form of a traffic lights such as colors, intensity, shape, textures. In general, traffic lights are installed at a position to increase the visibility of the drivers. The proposed method detects the candidate traffic lights regions using the top-down visual saliency model and spot-lights detect models. The visual saliency and spot-lights regions are positions of its difference from the neighboring locations in multiple features and multiple scales. For detecting traffic lights, by not using a color thresholding method, the proposed method can be applied to urban environments of variety changes in illumination and night times.